Otoya Ueda

4.2k citations
43 papers · 2.3k · h-index 24

Impact in

Papers in

    • Pluripotent Stem Cells Research 10
    • CRISPR and Genetic Engineering 7
    • DNA Repair Mechanisms 5
    • Animal Genetics and Reproduction 7
    • Diabetes and associated disorders 3

Otoya Ueda

43 papers receiving 2.3k citations

Peers

Otoya Ueda
Comparison fields: 5 of 105
  • Cancer Research 340
  • Reproductive Medicine 168
  • Biochemistry 113
  • Molecular Biology 1.2k
  • Physiology 68
Replace Roland Govers with:
Roland Govers Netherlands
Jianxin Sun United States
Jae‐Won Soh South Korea
Yoichi Mizukami Japan
Maria Sjöberg Sweden
Dominique Stengel France
Darci J. Kane United States
Alice Lin United States
Tokuo Yamamoto Japan
Shuh Narumiya Japan
Otoya Ueda relative to Roland Govers Netherlands Roland Govers's profile →
Citations per field
00.5×4.4×
Roland Govers · 1×
Citations per year

Countries citing papers authored by Otoya Ueda

Since Specialization
Citations

This map shows the geographic impact of Otoya Ueda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Otoya Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Otoya Ueda more than expected).

Fields of papers citing papers by Otoya Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Otoya Ueda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Otoya Ueda. The network helps show where Otoya Ueda may publish in the future.

Co-authors

The 25 scholars most cited alongside Otoya Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Otoya Ueda Line = papers co-authored together Otoya Ueda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999313
2 1999231
3 1996183
4 1995180
5 2001150
6 1999141
7 2002127
8 2002112
9 199790
10 199979
11 199963
12 199955
13 200650
14 201146
15 201345
16 200243
17 199938
18 201536
19 200332
20
Application of the piezo-micromanipulator for injection of embryonic stem cells into mouse blastocysts.
200130

About Otoya Ueda

Otoya Ueda is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Surgery and Oncology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), CRISPR and Genetic Engineering (7 papers), Reproductive Biology and Fertility (7 papers), Animal Genetics and Reproduction (7 papers), DNA Repair Mechanisms (5 papers), Pancreatic function and diabetes (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Cancer Research (340 citations), Reproductive Medicine (168 citations), Biochemistry (113 citations), Molecular Biology (1.2k citations) and Physiology (68 citations). Otoya Ueda has collaborated with scholars based in Japan, United States and Chile. Frequent co-authors include Hiroshi Suzuki, Nobuo Kamada, Kou‐ichi Jishage, Hiroshi Suzuki, Kou-ichi Jishage, Miho Watanabe, Takamitsu Iwata, Toshio Sofuni, Masami Yamada and Masaya Katoh. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, EXPERIMENTAL ANIMALS, Journal of Reproduction and Development and Environmental and Molecular Mutagenesis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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